ASUS System Product Name
Geekbench AI Score
34272
Single Precision Score
49855
Half Precision Score
26416
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 23 2024 11:23 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X670E-E GAMING WIFI |
| Power Plan | GameTurbo (High Performance) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13045
2.43 KIPS |
|
|
Image Classification (HP)
|
99% |
18355
3.42 KIPS |
|
|
Image Classification (Q)
|
100% |
11250
2.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21622
350.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
27376
443.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
20211
328.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
263396
307.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
488044
569.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
231239
270.9 IPS |
|
|
Object Detection (SP)
|
100% |
17140
1.36 KIPS |
|
|
Object Detection (HP)
|
100% |
24231
1.92 KIPS |
|
|
Object Detection (Q)
|
85% |
14635
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
48032
570.7 IPS |
|
|
Face Detection (HP)
|
100% |
62170
738.7 IPS |
|
|
Face Detection (Q)
|
97% |
40929
488.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
79564
613.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
154672
1.19 KIPS |
|
|
Depth Estimation (Q)
|
78% |
61665
492.4 IPS |
|
|
Style Transfer (SP)
|
100% |
407563
523.9 IPS |
|
|
Style Transfer (HP)
|
100% |
905702
1.16 KIPS |
|
|
Style Transfer (Q)
|
98% |
354791
457.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
55545
2.05 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
75021
2.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41302
1.53 KIPS |
|
|
Text Classification (SP)
|
100% |
3721
4.97 KIPS |
|
|
Text Classification (HP)
|
99% |
4575
6.11 KIPS |
|
|
Text Classification (Q)
|
97% |
2234
2.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
5454
93.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5341
92.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2603
48.8 IPS |
